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Hindustani, the lingua franca of Northern India and Pakistan, has two standardised registers: Hindi and Urdu.Grammatical differences between the two standards are minor but each uses its own script: Hindi uses Devanagari while Urdu uses an extended form of the Perso-Arabic script, typically in the Nastaʿlīq style.
Literal translation, direct translation, or word-for-word translation is the translation of a text done by translating each word separately without analysing how the words are used together in a phrase or sentence. [1] In translation theory, another term for literal translation is metaphrase (as opposed to paraphrase for an analogous translation).
For literary domains, a mere transliteration between Hindi-Urdu will not suffice as formal Hindi is more inclined towards Sanskrit vocabulary whereas formal Urdu is more inclined towards Persian and Arabic vocabulary; hence a system combining transliteration and translation would be necessary for such cases. [9]
Hinglish refers to the non-standardised Romanised Hindi used online, and especially on social media. In India, Romanised Hindi is the dominant form of expression online. In an analysis of YouTube comments, Palakodety et al., identified that 52% of comments were in Romanised Hindi, 46% in English, and 1% in Devanagari Hindi.
In English, some readers prefer the Authorized King James Version of the Bible to modern translations, and Shakespeare in the original of c. 1600 to modern translations. An opposite process involves translating modern literature into classical languages, for the purpose of extensive reading (for examples, see "List of Latin translations of ...
(February 2021) Click [show] for important translation instructions. Machine translation, like DeepL or Google Translate , is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.
There are many consistent or standardized romanization systems. They can be classified by their characteristics. A particular system's characteristics may make it better-suited for various, sometimes contradictory applications, including document retrieval, linguistic analysis, easy readability, faithful representation of pronunciation.
The terms are shortened from Latin: rēctō foliō and versō foliō (which translate as "on the right side of the leaf" and "on the back side of the leaf"). The two opposite pages themselves are called folium rēctum and folium versum in Latin, [1] and the ablative rēctō, versō already imply that the text on the page (and not the physical page itself) are referred to.